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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationSat, 14 Nov 2009 14:03:39 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/14/t1258232667b0gjs693mmgs5s2.htm/, Retrieved Sat, 02 May 2026 13:27:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57261, Retrieved Sat, 02 May 2026 13:27:54 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact417

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
- R  D    [Kendall tau Correlation Matrix] [] [2009-11-14 21:03:39] [21edaefb91319406e70b6c03c71b58b3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8,3	9	9
8,3	9,1	9,1
8,3	9	9
8,4	9,1	9
8,5	9,1	9
8,4	9	9
8,6	9	9
8,5	9	8,9
8,5	9	8,8
8,4	8,9	8,8
8,5	8,9	8,8
8,5	8,9	8,8
8,5	8,9	8,7
8,5	8,8	8,7
8,5	8,8	8,6
8,5	8,7	8,5
8,5	8,7	8,5
8,5	8,5	8,4
8,6	8,4	8,3
8,4	8,4	8,2
8,1	8,2	8,1
8	8,2	8,1
8	8,1	8
8	8,1	7,9
8	8	7,8
7,9	7,9	7,7
7,8	7,8	7,5
7,8	7,7	7,4
7,9	7,6	7,3
8,1	7,5	7,2
8	7,5	7,2
7,6	7,5	7,1
7,3	7,5	7,1
7	7,5	7,1
6,8	7,4	7
7	7,4	7
7,1	7,3	6,9
7,2	7,3	6,9
7,1	7,3	6,8
6,9	7,2	6,7
6,7	7,2	6,7
6,7	7,3	6,7
6,6	7,4	6,8
6,9	7,4	6,9
7,3	7,5	7
7,5	7,6	7
7,3	7,7	7,1
7,1	7,9	7,3
6,9	8	7,4
7,1	8,2	7,6
7,5	8,5	8
7,7	8,8	8,2
7,8	9	8,5
7,8	9,2	8,7
7,7	9,3	8,8
7,8	9,4	8,9
7,8	9,5	9
7,9	9,6	9,1
7,9	9,7	9,2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57261&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57261&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57261&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( België , Eurogebied )0.4733156945453034.44169103053227e-07
tau( België , EU-27 )0.5652416410479191.52057322289068e-09
tau( Eurogebied , EU-27 )0.897142037929570

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( België , Eurogebied ) & 0.473315694545303 & 4.44169103053227e-07 \tabularnewline
tau( België , EU-27
 ) & 0.565241641047919 & 1.52057322289068e-09 \tabularnewline
tau( Eurogebied , EU-27
 ) & 0.89714203792957 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57261&T=1

[TABLE]
[ROW][C]Kendall tau rank correlations for all pairs of data series[/C][/ROW]
[ROW][C]pair[/C][C]tau[/C][C]p-value[/C][/ROW]
[ROW][C]tau( België , Eurogebied )[/C][C]0.473315694545303[/C][C]4.44169103053227e-07[/C][/ROW]
[ROW][C]tau( België , EU-27
 )[/C][C]0.565241641047919[/C][C]1.52057322289068e-09[/C][/ROW]
[ROW][C]tau( Eurogebied , EU-27
 )[/C][C]0.89714203792957[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57261&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57261&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( België , Eurogebied )0.4733156945453034.44169103053227e-07
tau( België , EU-27 )0.5652416410479191.52057322289068e-09
tau( Eurogebied , EU-27 )0.897142037929570


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method='kendall')
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'tau',1,TRUE)
a<-table.element(a,'p-value',1,TRUE)
a<-table.row.end(a)
n <- length(y[,1])
n
cor.test(y[1,],y[2,],method='kendall')
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste('tau(',dimnames(t(x))[[2]][i])
dum <- paste(dum,',')
dum <- paste(dum,dimnames(t(x))[[2]][j])
dum <- paste(dum,')')
a<-table.element(a,dum,header=TRUE)
r <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,r$estimate)
a<-table.element(a,r$p.value)
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable.tab')